Diagnostics for random marking
Extract or Replace Subset of a List of Things
Cumulative Distribution Function From Kernel Density Estimate
The Connected Component Process Model
Diggle-Gates-Stibbard Point Process Model
Diggle-Gratton model
Extract Subset of Function Array
Extract or Replace Subset of Function Values
The Area Interaction Point Process Model
Hybrid Geyer Point Process Model
Extract Subset of Influence Object
Extract or Replace Subset of a Layered Object
Extract Subset of Leverage Object
Extract Subset of Pixel Image on Linear Network
Extract Subset of Window
Extract or Replace Subset of Point Pattern
Extract Subset of Linear Network
Extract or Replace Subset of a List of Things
Subset of Quadrature Scheme
Extract or Replace Subset of Tessellation
Empty Space Function of a Three-Dimensional Point Pattern
Estimate the Empty Space Function or its Hazard Rate
Extract or Replace Subset of a List of Spatial Objects
Extract or Change the Containing Rectangle of a Spatial Object
Nearest Neighbour Distance Distribution Function
of a Three-Dimensional Point Pattern
Inhomogeneous Marked G-Function
The Fiksel Interaction
Inhomogeneous Nearest Neighbour Function
Marked Nearest Neighbour Distance Function
K-function of a Three-Dimensional Point Pattern
Extract or Replace Subset of Hyperframe
Extract Subset of Image
Extract Subset of Multidimensional Point Pattern
Extract Subset of Line Segment Pattern
Residual G Function
The Hierarchical Strauss Hard Core Point Process Model
Hybrid Interaction Point Process Model
Multitype K Function (Cross-type)
Inhomogeneous Cross K Function
K-function or Pair Correlation Function of a
Determinantal Point Process Model
K Function or Pair Correlation Function of Cluster Model or Cox model
S3 Group Generic methods for images
S3 Group Generic methods for List of Images
Transform a Function into its P-P or Q-Q Version
The Piecewise Constant Pairwise Interaction Point Process Model
Model Compensator of Nearest Neighbour Function
Multitype Nearest Neighbour Distance Function (i-to-j)
Geyer's Saturation Point Process Model
Foxall's Distance Functions
Inhomogeneous J-function
Marked J Function
Reduced Second Moment Measure
K Function or Pair Correlation Function of a Point Process Model
Inhomogeneous Marked K-Function
Residual K Function
L-function
L-function
Model Compensator of K Function
Inhomogeneous Multitype K Dot Function
Lambert's W Function
The Multitype/Hard Core Strauss Point Process Model
Arithmetic Operations on Measures
Reset Values in Subset of Image on Linear Network
Piecewise Constant Saturated Pairwise Interaction Point Process Model
Multitype K Function (i-to-any)
Intensity Estimate of Point Pattern Using Tessellation
Fill Plot With Texture
Apply Affine Transformation To Point Pattern
Apply Affine Transformation To Line Segment Pattern
Extract Subset of Point Pattern on Linear Network
Extract Subset of Signed or Vector Measure
Extract or Replace Sub-Patterns
Subset of spatially sampled function
Inhomogeneous Empty Space Function
Inhomogeneous Marked F-Function
The Hierarchical Hard Core Point Process Model
Multitype Nearest Neighbour Distance Function (i-to-any)
Nearest Neighbour Distance Function G
The Hard Core Point Process Model
Spherical Contact Distribution Function
The Hierarchical Strauss Point Process Model
Estimate the I-function
Multitype J Function (i-to-j)
K-function
K-function using FFT
Multitype J Function (i-to-any)
Estimate the J-function
Inhomogeneous K-function
Mark-Weighted K Function
Poisson Point Process Model
Reset Values in Subset of Image
The Strauss Point Process Model
The Strauss / Hard Core Point Process Model
ANOVA for Fitted Point Process Models
Analysis of Deviance for Spatial Logistic Regression Models
Coerce Hyperframe to Data Frame
Convert Pixel Image to Data Frame
K Function or Pair Correlation Function of Gibbs Point Process model
Marked K-Function
S3 Group Generic Methods for Images on a Linear Network
Minkowski Sum of Windows
The Multitype Hard Core Point Process Model
Locally Scaled K-function
Sector K-function
Inhomogeneous Multitype L Dot Function
The Lennard-Jones Potential
Convert Leverage Object to Function of Coordinates
Convert Window to Indicator Function
Convert to Pixel Image
Extract Interaction Structure
The Multitype Strauss Point Process Model
Spatial smoothing of observations at irregular points
Smooth a Spatially Sampled Function
Generic Ord Interaction model
Ord's Interaction model
Saturated Pairwise Interaction model
Spatial smoothing of data
Convert Pixel Image to Matrix or Array
Convert Pixel Image to Matrix
Distance to Boundary of Window
Added Variable Plot for Point Process Model
Apply Affine Transformation
Calculate Summary Statistic for All Types in a Multitype Point Pattern
Orientation Angles of Line Segments
Convert Data to Multi-Dimensional Box
The Triplet Point Process Model
Third order summary statistic
Apply Geometrical Transformation To Tessellation
Calculate four standard summary functions of a point pattern.
Check Whether Image Contains NA Values
List of Objects
Area of a Window
Coerce Envelope to Data Frame
Convert a Tessellation to a Function
Convert Data To Class fv
Convert Data To Layered Object
Extract or Change the Window of a Spatial Object
Extract Window of Spatial Object
Apply Affine Transformation To Pixel Image
Apply Geometrical Transformations to a Linear Network
Difference of Disc Areas
Coerce Line Segment Pattern to a Data Frame
Convert Tessellation to Data Frame
Convert to Pixel Image on Linear Network
Combine Two Line Segment Patterns
Apply Function to Every Neighbourhood in a Point Pattern
Difference of Disc Areas
Convert Data to Three-Dimensional Box
Extract Linear Network from Data on a Linear Network
Convert List of Two-Dimensional Spatial Objects
Convert Data To Tessellation
Create Colour Scheme for a Range of Numbers
Three-Dimensional Box
Multi-Dimensional Box
Cross Validated Bandwidth Selection for Kernel Density
Print Introduction For Beginners
Check Start of Character String
Bounding Box of a Window, Image, or Point Pattern
Convert Data to Hyperframe
Extract coordinates and marks of multidimensional point pattern
Pixel Image Approximation of a Window
Bandwidth Selection Based on Window Geometry
Spatial Distribution Test for Multiple Point Process Model
Centroid of a window
Interactively Define a Polygon
Smallest Enclosing Circle
Interactively Add Points
Compute or Extract Effective Range of Cluster Kernel
Allard-Fraley Estimator of Cluster Feature
Colour Lookup Tables
Convert and Compare Colours in Different Formats
Connected Components of a Linear Network
Connected Components of a Point Pattern on a Linear Network
Pairwise distances between two different point patterns
Pairwise Distances Between Two Different Multi-Dimensional Point Patterns
Cross Validated Bandwidth Selection for Relative Risk Estimation
Scott's Rule for Bandwidth Selection for Kernel Density
Combine Hyperframes by Rows or by Columns
Convert Data to a Function on a Linear Network
Convert Data To Class owin
Convert a Window to a Polygonal Window
Area Under ROC Curve
Crossing Points of Two Line Segment Patterns
Convert Pixel Image from Numeric to Factor
Generate a Default Pattern of Dummy Points
Bias Correction for Fitted Model
Balanced Independent Two-Stage Monte Carlo Test
Apply Gaussian Blur to a Pixel Image
Apply Function to Image Broken Down by Factor
Default Expansion Rule for Simulation of Model
Progress Plot of Dao-Genton Test of Spatial Pattern
Significance Trace of Dao-Genton Test
Diameter of an Object
Geometrical Calculations for Three-Dimensional Box
Compute Quadrature Weights Based on Dirichlet Tessellation
Circular Window
Apply a Function to a Point Pattern Broken Down by Factor
Subdivide a Window or Tessellation using a Set of Lines
Density Estimation for Circular Data
Intersect Infinite Straight Lines with a Window
Spatial Distribution Test for Point Pattern or Point Process Model
Interactively join vertices on a plot
Interactively Add Points on a Linear Network
Morphological Closing
Field of clusters
Divide Linear Network at Cut Points
Kernel distributions and random generation
Approximate Pair Correlation Function of Determinantal Point Process Model
Internal function calculating eig and index
Close Pairs of Points
Fit Cluster or Cox Point Process Model via Minimum Contrast
Extract Cluster Offspring Kernel
Determine A Common Spatial Domain And Pixel Resolution
Test Whether Objects Are Compatible
Test Whether Function Arrays Are Compatible
Connected Components of a Point Pattern
Residual Diagnostics for Multiple Fitted Models
Convex Hull of Points
Weil's Convexifying Operation
Corners of a rectangle
Contour plot of pixel image
Pairwise distances between two point patterns on a linear network
Pairwise distances between two different three-dimensional point patterns
Multitype L-function (cross-type)
Inhomogeneous Cross Type L Function
Multitype L-function (i-to-any)
Generic Pairwise Interaction model
List Dihedral Triples in a Graph
Invoke Text Editor on Hyperframe
Recompute Envelopes
Envelope for Point Patterns on Linear Network
Significance Trace of Cressie-Loosmore-Ford or Maximum Absolute
Deviation Test
Diggle-Cressie-Loosmore-Ford and Maximum Absolute Deviation Tests
Distance on Delaunay Triangulation
Linear Network of Delaunay Triangulation or Dirichlet Tessellation
Evaluate Expression Involving Functions
Evaluate Expression Involving Pixel Images
Extract the Interaction from a Fitted Point Process Model
Fitted Intensity for Point Process on Linear Network
Convert Line Segment Pattern to Binary Pixel Mask
Extract Fitted Point Process Model
Convert Data To Class ppp
Distance to Boundary of Window
Distance to Boundary of Window
Tree Branch Membership Labelling Function
List Recent Bug Fixes
Cover Region with Discs
Extract Original Data from a Fitted Point Process Model
Progress Plot of Test of Spatial Pattern
Set Default Control Parameters for Metropolis-Hastings Algorithm.
Fourier Basis Functions
Fry Plot of Point Pattern
Make Pixel Images Compatible
Penttinen Interaction
Apply Smoothing to Function Values
Smooth a Signed or Vector-Valued Measure
Smooth Interpolation of Marks as a Spatial Function
Cross Validated Bandwidth Selection for Pair Correlation Function
Clark and Evans Aggregation Index
Clark and Evans Test
Interactively Define a Rectangle
Kernel Smoothing of Line Segment Pattern
Kernel Smoothed Intensity of Split Point Pattern
Geometrical Calculations for Multi-Dimensional Box
Diameter and Bounding Radius of a Linear Network
Likelihood Cross Validation Bandwidth Selection for Kernel Density
Area of Part of Disc
Safely Convert Point Pattern Window to Binary Mask
Distance Map
Distance Map of Window
Power Exponential Spectral Determinantal Point Process Model
The Soft Core Point Process Model
Apply Geometrical Transformations to Point Pattern on a Linear Network
Apply Affine Transformation To Window
ANOVA for Fitted Point Process Models on Linear Network
Approximate Determinantal Point Process Kernel
Ripley's Isotropic Edge Correction
Translation Edge Correction
Force Model to be Valid
Force Point Process Model to be Valid
Make Measures Compatible
Hierarchical Pairwise Interaction Process Family
Histogram of Values of a Spatial Function
Spatial Covariance of a Pixel Image
Interactively Measure Distance
Coefficients of Point Process Model Fitted to Multiple Point Patterns
Coefficients of Fitted Point Process Model
Simulation Envelopes of Summary Function for 3D Point Pattern
Array of Simulation Envelopes of Summary Function
Exact Maximum Pseudolikelihood Estimate for Stationary Strauss Process
Improve Intensity Estimate of Fitted Cluster Point Process Model
Infinite Order Interaction Family
Insert New Vertices in a Linear Network
Intersection, Union or Set Subtraction of Windows
Apply Expansion Rule
Exchange X and Y Coordinates
Foo is Not a Real Name
Make Objects Compatible
Make Function Tables Compatible
First or Last Part of a Spatial Pattern
Hexagonal Grid or Tessellation
ANOVA for Fitted Point Process Models for Replicated Patterns
Convert Window to Data Frame
Coerce Point Pattern to a Data Frame
Convert Function Value Table to Function
Delaunay Triangulation of Point Pattern
Parameter influence measure
Global Envelopes for Dao-Genton Test
Morphological Dilation
Intersection of Two Tessellations
Determine Whether a Point Pattern is Connected
Test Whether a Window is Convex
Test Whether An Object Is A Fitted Point Process Model
Apply Function Pixelwise to List of Images
Class of Images
Infinite Straight Lines
Influence Measure for Spatial Point Process Model
Intensity of a Multidimensional Space-Time Point Pattern
Convert Pixel Image to Function of Coordinates
Convert Line Segment Pattern to Linear Network
Convert Data to a Point Pattern on a Linear Network
Convert Data To Class psp
Window Frame
Berman's Tests for Point Process Model
Combine Function Value Tables
Border Region of a Window
Convex Hull of Points
Dimension of Determinantal Point Process Model
Union of Discs
Distribution Function of Interpoint Distance
Distance Map of Point Pattern
Distance Map of Line Segment Pattern
Parameter Bound for a Determinantal Point Process Model
Extract Spectral Density from Determinantal Point Process Model Object
Range of Spectral Density of a Determinantal Point Process Model
Cross Validated Bandwidth Selection for Spatial Smoothing
Stoyan's Rule of Thumb for Bandwidth Selection
Fit the Neyman-Scott cluster process with Cauchy kernel
Generic Calculation of K Function and Pair Correlation Function
Take Complement of a Window
Concatenate x,y Coordinate Vectors
Fit the Neyman-Scott cluster process with Cauchy kernel
Close Pairs of Points in 3 Dimensions
Close Triples of Points
Coefficients of Fitted Spatial Logistic Regression Model
Connected components
Pairwise distances
Pairwise distances between two different sets of points
Collapse Several Function Tables into One
Test Whether Function Objects Are Compatible
Test Whether Pixel Images Are Compatible
Array of Contour Plots
Test Whether An Object Is A Point Pattern
Moment of Smoothing Kernel
Integral of Squared Kernel
Level Set of a Pixel Image
Leverage Measure for Spatial Point Process Model
Convex Hull
Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern
Classify Points in a Point Pattern on a Network
Classify Points in a Point Pattern
Intensity Estimates Using Quadrat Counts
Fit Point Process Model Involving Irregular Trend Parameters
Determine Whether an Object is Connected
Test whether Object is Multitype
Convolution of Pixel Images
Linear K Function
Multitype K Function (Cross-type) for Linear Point Pattern
Create Pixel Image on Linear Network
Create a Linear Network
Tessellation on a Linear Network
Subdivide Segments of a Network
Lookup Tables
Pairwise distances between two different line segment patterns
Crossing Points between Linear Network and Other Lines
Delete or Extract a Branch of a Tree
Mark Connection Function
Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
Methods for three-dimensional point patterns
Mark Variogram
Perspective Plot of Pixel Image
Mean, Median, Quantiles of Pixel Values on a Linear Network
Create a Window
Positive and Negative Parts, and Variation, of a Measure
Extract the Variables in a Point Process Model
Methods for Multidimensional Space-Time Point Patterns
Compute Area of Overlap
Convert Data to Numeric Values by Constructing Dummy Variables
Compute Fitted Effect of a Spatial Covariate in a Point Process Model
Elliptical Window.
Areas of Morphological Erosions
Nearest Neighbours on a Linear Network
Compute Images of Constructed Covariates
Find Line Segment Nearest to Each Point
Find Pixel Nearest to a Given Point
Draw Points or Lines on a Surface Viewed in Perspective
Kernel Estimate of Intensity on a Linear Network
Kernel Smoothed Intensity of Point Pattern
Dao-Genton Adjusted Goodness-Of-Fit Test
Diagnostic Plots for Fitted Point Process Model
K-th Nearest Point Map
Nearest Neighbours Between Two Patterns in 3D
Nearest Neighbour Map on Linear Network
Place Points Evenly Along Specified Lines
Pairwise Distances in Any Dimensions
Pairwise distances
Pair Correlation Function obtained from array of K functions
Plot Function Values
Test Whether A Point Process Model is Multitype
Kaplan-Meier Estimator using Histogram Data
Scale factor for density kernel
Generate a Row or Column Arrangement of Rectangles.
Estimate Dimension of Central Subspace
Dirichlet Tessellation of Point Pattern
Compute Areas of Tiles in Dirichlet Tessellation
Vertices and Edges of Dirichlet Tessellation
Delta Metric
Calculate Derivative of Function Values
Construct a New Determinantal Point Process Model Family Function
Morphological Erosion by a Disc
Fitted Conditional Intensity for Multiple Point Process Model
Fitted Conditional Intensity for Point Process Model
Function Value Table
Abbreviations for Groups of Columns in Function Value Table
Add margins to rectangle
Basis for Harmonic Functions
Make Windows Compatible
Check Whether Points Have Close Neighbours
Inverse-distance weighted smoothing of observations at irregular points
Diameter of a Window
Areas of Morphological Dilations
Distance Map as a Function
Distance Map on Linear Network
Create a Pixel Image Object
Integral of a Pixel Image
Integral on a Linear Network
Lengths of Line Segments
Dirichlet Tessellation on a Linear Network
Compute Disc of Given Radius in Linear Network
Inhomogeneous Multitype
Pair Correlation Function (Dot-type) for Linear Point Pattern
Bessel Type Determinantal Point Process Model
Generalized Cauchy Determinantal Point Process Model
Extract Kernel from Determinantal Point Process Model Object
Fit Determinantal Point Process Model
Extract Dummy Points Used to Fit a Point Process Model
Determine Duplicated Points in a Spatial Point Pattern
Invoke Text Editor on Spatial Data
Exponential Energy Marks
Interpolate smoothly between specified colours
Interpolate a Pixel Image
Plot Data Using Graphics Symbol Map
Point and Click Interface for Displaying Spatial Data
Test Whether A Point Process Model is Marked
Inhomogeneous Linear Pair Correlation Function
Local pair correlation function
Log Likelihood and AIC for Fitted Determinantal Point Process Model
Mark Correlation Function
Morphological Erosion of Windows
Fitted Probabilities for Spatial Logistic Regression
Mixed Poisson Distribution
Extract the Domain of any Spatial Object
Gaussian Determinantal Point Process Model
Whittle-Matern Determinantal Point Process Model
Evaluate Expression Involving Function Arrays
Inhomogeneous Pair Correlation Function
Pair Correlation Function obtained from K Function
Plot a Function Array
Marked pair correlation function
Plot a tessellation
Mark Cross-Correlation Function
Marks of a Tessellation
Summarise Marks in Every Neighbourhood in a Point Pattern
Methods for Spatial Logistic Regression Models
Methods for Cluster Point Process Models
Methods for Layered Objects
Methods for Fitted Point Process Models on a Linear Network
Methods for Objective Function Surfaces
Extract Boundary Edges of a Window.
List Triangles in a Graph
Endpoints of Line Segment Pattern
Simulation Envelopes of Summary Function
Evaluate Expression Involving Pixel Images on Linear Network
Extract Fixed Effects from Point Process Model
Extract or Change the Plot Formula for a Function Value Table
Model Formulae for Gibbs Point Process Models
Gauss-Hermite Quadrature Approximation to Expectation for Normal Distribution
Methods for Spatially Sampled Functions
Class of Quadrature Schemes
Nested Split
Nearest Neighbour Clutter Removal
Nearest neighbour distances on a linear network
plot a Fitted Point Process Model
Predicted or Fitted Values from Spatial Logistic Regression
Plot Point Pattern on Linear Network
Plot a Fitted Point Process Model on a Linear Network
Weighted Empirical Cumulative Distribution Function
Farthest Distance to Boundary of Window
Function Arrays for Spatial Patterns
Spatial Function Class
plot a Spatial Point Pattern
Prediction from a Fitted Point Process Model
Plot a Graphics Symbol Map
Pool Several Quadrat Tests
Create a Function Value Table
Compute Quadrature Weights Based on Grid Counts
Add margins to box in any dimension
Hybrid Interaction Family
Rectangular grid of points
Histogram of Pixel Values in an Image
Hopkins-Skellam Test
Identify Points in a Point Pattern
Set Control Parameters for Metropolis-Hastings Algorithm.
Make Predictions From a Recursively Partitioned Point Process Model
Polynomial in One or Two Variables
Identify Segments in a Line Segment Pattern
Integral of a Measure
Intensity of a Dataset or a Model
Intensity of Fitted Point Process Model
Pool Several Functions
Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
Sample Quantiles of Pixel Image
Q-Q Plot of Residuals from Fitted Point Process Model
Print Brief Details of an Image
Hyper Data Frame
Find Largest Circle Inside Window
Increments of a Function
Test Whether Points Are Inside A Multidimensional Box
Test Whether Points Are Inside A Window
Intensity of Determinantal Point Process Model
Empirical Intensity of Point Pattern on Linear Network
Recognise Fitted Determinantal Point Process Models
Test Whether An Object Is Empty
Divide Region into Quadrats
Range of Interaction for a Determinantal Point Process Model
Quantiles of Weighted Empirical Cumulative Distribution Function
Resample a Point Pattern by Resampling Quadrats
Test Whether An Object Is A Point Pattern on a Linear Network
Test Whether Marks Are Present
Determine Type of Window
Recognise Stationary and Poisson Point Process Models
Laslett's Transform
Print News About Latest Version of Package
Inhomogeneous multitype K Function (Cross-type) for Linear Point Pattern
Multitype K Function (Dot-type) for Linear Point Pattern
Inhomogeneous Multitype Pair Correlation Function
(Cross-type) for Linear Point Pattern
Multitype Pair Correlation Function (Dot-type) for Linear Point Pattern
Neighbourhood density function
Inhomogeneous Neighbourhood Density Function
Empirical Intensity of Point Pattern
Test Whether Object is a Hybrid
Test Whether An Object Is A Pixel Image
Test Whether A Point Pattern is Multitype
Test Whether An Object Is A Window
Determine Whether One Window is Contained In Another
Point and Click Interface for Exploratory Analysis of Point Pattern
Marks of a Point Pattern
Marks of a Line Segment Pattern
Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation
Kaplan-Meier and Reduced Sample Estimator using Histograms
Fit Cluster or Cox Point Process Model
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Nearest neighbour distances in three dimensions
Objective Function Surface
Nearest neighbours in three dimensions
Test Whether A Point Pattern is Marked
Fit a Log-Gaussian Cox Point Process by Minimum Contrast
Mark Connection Function for Multitype Point Pattern on Linear Network
Mark Connection Function for Multitype Point Pattern on Linear Network
Quadrature Scheme on a Linear Network
Extract Random Effects from Point Process Model
Convert Pixel Image to Another Unit of Length
Simulate Matern Cluster Process
Simulate Log-Gaussian Cox Process
Create List of Plotting Layers
Extract or Replace the Plot Arguments of a Layered Object
Inhomogeneous multitype K Function (Dot-type) for Linear Point Pattern
Range of Function Values
Convert dataset to another unit of length
Simulate from a Fitted Point Process Model
Generate Multitype Poisson Point Pattern
Nearest Neighbours in Any Dimensions
Make Periodic Copies of a Spatial Pattern
Count Number of Vertices
Reduced Sample Estimator using Histogram Data
Residuals for Fitted Point Process Model
Residuals for Point Process Model Fitted to Multiple Point Patterns
Randomly Shift a Point Pattern
Function on a Linear Network
Log Likelihood and AIC for Point Process Model
Loglikelihood of Spatial Logistic Regression
Fit Point Process Model to Point Pattern on Linear Network
Lurking variable plot
Set Covariance of a Window
Rotate or Shift Infinite Lines
Generate N Random Multitype Points
Generate Poisson Random Line Process
Rotate a Pixel Image
Rescale Data to Lie Between Specified Limits
Randomly Shift a Line Segment Pattern
Distance for a Point Pattern Matching
Morisita Index Plot
Fit the Matern Cluster Point Process by Minimum Contrast
Methods for Spatial Functions
Inhomogeneous Linear K Function
Linear Pair Correlation Function
Multitype Pair Correlation Function (Cross-type) for Linear Point Pattern
Log Likelihood and AIC for Fitted Cox or Cluster Point Process Model
Methods for Fitted Interactions
Methods for Linear Networks
Estimate Intensity of Point Pattern Using Nearest Neighbour Distances
Plot a List of Images
Pairwise distances in Three Dimensions
Pairwise shortest-path distances between points on
a linear network
Extract Pixel Centres as Point Pattern
Log Likelihood and AIC for Multiple Point Process Model
Bootstrap Confidence Bands for Summary Function
Create Point Pattern on Linear Network
Compute Minimum or Maximum Nearest-Neighbour Distance
Methods for Determinantal Point Process Models
Method of Minimum Contrast
Power of a Matrix
Fit Point Process Model to Several Point Patterns
Merge Levels of a Factor
Identify Covariates Involved in each Model Term
Methods for Point Patterns on a Linear Network
Scatterplot Matrix for Pixel Images
Nearest neighbour
Count Multiplicity of Duplicate Points
Mean and Median of Pixel Values in an Image
Methods for Cluster Models
Methods for Multi-Dimensional Box
Methods for Functions on Linear Network
Pair Correlation Function
Partial Residuals for Point Process Model
Perimeter Length of Window
Plot a List of Spatial Objects
Generate N Random Points
Square Window
Simulate a Fitted Point Process Model on a Linear Network
Signed or Vector-Valued Measure
Point Pair Orientation Distribution
Nearest neighbour distances
Scatterplot Matrix for Pixel Images on a Linear Network
Methods for Three-Dimensional Box
Methods for Intensity Functions of Two Spatial Covariates
Inhomogeneous Multitype Pair Correlation Function (Cross-Type)
Methods for Intensity Functions of Spatial Covariate
Count Number of Geometrical Objects in a Spatial Dataset
Identify Nearest Neighbours on a Linear Network
Morphological Opening
plot a Fitted Multiple Point Process Model
Ord Interaction Process Family
Predict Point Process Model on Linear Network
Convert Spatial Object to Pixel Image
Plot a Tessellation on a Linear Network
Plot Influence Measure
Plot a List of Things
Plot a Fitted Spatial Logistic Regression
Apply Scalar Dilation
Simulate a Fitted Cluster Point Process Model
Print Names and Version Numbers of Libraries Loaded
Extract List of Tiles in a Tessellation
Plot a Three-Dimensional Point Pattern
Print Brief Details of a Spatial Window
Three Dimensional Point Pattern
Plot a plotppm Object Created by plot.ppm
Methods for Units
Methods for Images on a Linear Network
Nearest-Neighbour Correlation Indices of Marked Point Pattern
Midpoints of Line Segment Pattern
Nearest neighbour distances between line segments
Nearest Data Point From Each Vertex in a Network
Outdated Functions
Nearest Neighbour Distances in Any Dimensions
Pool Data
Pool Data from a List of Objects
Rotational Average of a Pixel Image
Pool Data from Several Ratio Objects
Dummy Function Returns Number of Points
Nearest Neighbour Index Map as a Function
Class owin
Fit Point Process Model to Data
Multitype pair correlation function (cross-type)
Prediction for Fitted Multiple Point Process Model
Print a Fitted Point Process Model
Alternating Gibbs Sampler for Multitype Hard Core Process
Receiver Operating Characteristic
Pad the Border of a Pixel Image
Panel Plots using Colour Image or Contour Lines
Extract Model Parameters in Understandable Form
Plot a List of Things
Plot a fitted determinantal point process
plot a Spatial Line Segment Pattern
Plot a linear network
Extract Design Matrix from Spatial Logistic Regression Model
Number of Points in a Point Pattern
Extract Design Matrix from Point Process Model
Apply a Function Over a List and Obtain a List of Objects
Stienen Diagram
List of Two-Dimensional Spatial Objects
Spokes pattern of dummy points
Summary of a Split Point Pattern
Compute Quadratic Forms
Pairwise distances
Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type)
Nearest Neighbours Between Two Patterns
Perfect Simulation of the Diggle-Gates-Stibbard Process
Mark of Nearest Neighbour
Display the result of a quadrat counting test.
Plot Result of Berman Test
Plot Quadrat Counts
Plot a Simulation Envelope
Plot Pixel Image on Linear Network
Plot a Text String
Simulate Neyman-Scott Point Process with Cauchy cluster kernel
Pairwise distances between line segments
Plot Entries in a Hyperframe
Pool Data from Several Envelopes
Pair Correlation Function of a Three-Dimensional Point Pattern
Pairwise Interaction Process Family
Nearest Neighbour Orientation Distribution
Number of Line Segments in a Line Segment Pattern
Plot a Spatial Window
Pairwise distances
Saturated Pairwise Interaction Point Process Family
Multitype pair correlation function (i-to-any)
Leverage and Influence Measures for Spatial Point Process Model
Plot a Recursively Partitioned Point Process Model
Plot a Spatial Quadrature Scheme
Generate a Quadrature Scheme from a Point Pattern
Plot a Texture Map
Quasirandom Patterns
Stratified random point pattern
Update a Fitted Point Process Model
Create a Tessellation
Graphics Symbol Map
Check For Empty Tiles in a Tessellation
Union of Data and Dummy Points
Update Control Parameters of Metropolis-Hastings Algorithm
Extract Unique Points from a Spatial Point Pattern
Check Validity of a Determinantal Point Process Model
Calculate Pseudo-R-Squared for Point Process Model
Sibling Probability of Cluster Point Process
Alternating Gibbs Sampler for Area-Interaction Process
Extract Quadrature Scheme Used to Fit a Point Process Model
Convert Window to Pixel Image
Pair Correlation Function of Point Pattern
Plot a Pixel Image
Class of Fitted Point Process Models
Distance Between Two Point Patterns
Print Progress Reports
Move Point To Nearest Line
Convert Point Pattern to Pixel Image
Plot Laslett Transform
Prune a Recursively Partitioned Point Process Model
Plot a fitted cluster point process
Plot a Spatially Sampled Function
Plot a List of Point Patterns
Plot a Signed or Vector-Valued Measure
Create a Point Pattern
Plot a Spatial Distribution Test
Convert Line Segment Pattern to Pixel Image
Quadrature Scheme Based on Pixel Grid
Plot Leverage Function
Pool Data from Several Function Arrays
Find Nearest Point in a Region
Class of Point Patterns
Class of Point Matchings
Fit Models by Profile Maximum Pseudolikelihood or AIC
Mosaic Random Set
Create a Point Matching
Pseudoscore Diagnostic For Fitted Model against General Alternative
Pseudoscore Diagnostic For Fitted Model against Area-Interaction Alternative
Convert Window to Another Unit of Length
Plot a Colour Map
Layered Plot
Plot an Arrow
Plot a Yardstick or Scale Bar
Plot Result of Scan Test
Print Brief Details of a Line Segment Pattern Dataset
Fit Point Process Model to Point Pattern Data
Draw Points on Existing Plot
Prediction from a Fitted Cluster Point Process Model
Create a Line Segment Pattern
Prediction from a Fitted Determinantal Point Process Model
Print Brief Details of a Point Pattern Dataset
Check Whether Point Process Model is Valid
Vertices of a Window
Volume of an Object
Simulate Poisson Cluster Process
Simulate Gauss-Poisson Process
Perfect Simulation of the Hardcore Process
Reflect In Origin
Generate Quasirandom Point Pattern in Given Window
Multidimensional Space-Time Point Pattern
Interaction Distance of a Point Process
Print a Quadrature Scheme
Dispersion Test of CSR for Split Point Pattern Based on
Quadrat Counts
Perfect Simulation of the Strauss Process
Ratio object
Generate a Logistic Regression Quadrature Scheme from a Point Pattern
Simulate Simple Sequential Inhibition
Simulate Stratified Random Point Pattern
Estimate of Spatially-Varying Relative Risk
Richardson Extrapolation
Create A Regular Polygon
Parametric Estimate of Spatially-Varying Relative Risk
Perfect Simulation of the Penttinen Process
Class of Line Segment Patterns
Chi-Squared Test for Multiple Point Process Model Based on
Quadrat Counts
Dispersion Test for Spatial Point Pattern Based on
Quadrat Counts
Simulate Matern Model II
Simulate Matern Model I
The Spatstat Package
Create Colour-Valued Pixel Image
Generate grid of parallel lines with random displacement
Superimpose Several Point Patterns on Linear Network
Likelihood Ratio Test Statistic for Scan Test
Generate Poisson Point Pattern on Line Segments
Residuals for Fitted Cox or Cluster Point Process Model
Cartesian Coordinates for a Pixel Raster
Simulate Neyman-Scott Process
Generate Random Numbers of Points for Cell Process
Perfect Simulation of the Diggle-Gratton Process
Perfect Simulation of the Strauss-Hardcore Process
Nonparametric Estimate of Spatially-Varying Relative Risk
Define Point Process Model for Metropolis-Hastings Simulation.
Simulate Baddeley-Silverman Cell Process
Random Re-Labelling of Point Pattern
Simulate Thomas Process
Convert Window Back To Rectangle
Theoretical Distribution of Nearest Neighbour Distance
Quantile Tessellation
Reorder Levels of a Factor-Valued Image or Pattern
Smoothing Estimate of Intensity as Function of a Covariate
Quadrat counting for a point pattern
Quantiles of a Density Estimate
Simulate Neyman-Scott Point Process with Variance Gamma cluster kernel
Mosaic Random Field
Alternating Gibbs Sampler for Multitype Point Processes
Determine Initial State for Metropolis-Hastings Simulation.
Simulation of a Determinantal Point Process
Convert Line Segment Pattern to Another Unit of Length
Require a Specific Version of a Package
Rotate a Point Pattern
Residuals for Fitted Determinantal Point Process Model
Convert Point Pattern to Another Unit of Length
Apply Vector Translation To Line Segment Pattern
Simulate Point Process Models using the Metropolis-Hastings Algorithm.
Simulate point patterns using the Metropolis-Hastings algorithm.
Define Point Process Model for Metropolis-Hastings Simulation.
Specify Simulation Window or Expansion Rule
Build Point Process Model for Metropolis-Hastings Simulation.
Compute Unless Previously Saved
Apply Vector Translation
Estimate window from points alone
Random Points on a Linear Network
Random Pixel Noise
Generate Poisson Point Pattern
Rotate a Line Segment Pattern
Approximate a Polygon by a Simpler Polygon
Apply Vector Translation To Pixel Image
Generate Poisson Point Pattern in Three Dimensions
Randomly Shift a List of Point Patterns
Summarizing a Fitted Point Process Model
Simulate systematic random point pattern
Apply Numerical Rounding to Spatial Coordinates
Detect Numerical Rounding
Generate Poisson Point Pattern in Any Dimensions
Generate N Uniform Random Points in Three Dimensions
Simulated Annealing or Simulated Tempering for Gibbs Point Processes
Cut Line Segments Where They Intersect
Simple Point-and-Click Interface Panels
Generate N Uniform Random Points On Line Segments
Extract List of Individual Point Process Models
Rotate a Window
Poisson Line Tessellation
Random Thinning
Generate N Uniform Random Points in Any Dimensions
Generate N Uniform Random Points
Crossing Points in a Line Segment Pattern
Internal spatstat functions
Compute Lengths of Tiles in a Tessellation on a Network
Apply Vector Translation To Point Pattern
Smoothed Relative Density of Pairs of Covariate Values
Interpret Fitted Model for Metropolis-Hastings Simulation.
Remove Vertices or Segments from a Linear Network
Random Perturbation of a Point Pattern
Deprecated spatstat functions
Recursively Partitioned Point Process Model
Rotate
Rose Diagram
Random Shift
Uniform Random Points on a Linear Network
Poisson Point Process on a Linear Network
Run Point-and-Click Interface
Summary of a Point Pattern Dataset
Side Lengths of Enclosing Rectangle of a Window
Compute Predictors from Sufficient Dimension Reduction
Generate N Uniform Random Points in a Disc
Sufficient Dimension Reduction
Distance Between Linear Spaces
Read Point Pattern From Data File
Data Sharpening of Point Pattern
Simulation of Determinantal Point Process Model
Spatial Scan Test
Pixel Values Along a Transect
Spatial Logistic Regression
Divide a Measure into Parts
Divide Image Into Sub-images
Simulate a Point Process Model Fitted to Several Point Patterns
Summarizing a Pixel Image
Rounding of Pixel Values
Divide Point Pattern into Sub-patterns
Divide Multidimensional Point Pattern into Sub-patterns
Evaluate Expression Involving Components of a Measure
Summary of a List of Things
Add Text Labels to Spatial Pattern
Summary of a Spatial Window
Texture Map
Test of Spatial Segregation of Types
Compute Integral of Function Against Cumulative Distribution
Spatial Dimension of a Dataset
Record the Computation Time
Evaluate Logical Expression Involving Pixel Images and Return
Region Where Expression is True
Summary of a Line Segment Pattern Dataset
Spatially Sampled Function
Studentised Permutation Test
Apply Vector Translation To Window
Divide Hyperframe Into Subsets and Reassemble
Summary of a List of Spatial Objects
Simulate a Fitted Spatial Logistic Regression Model
Compute Areas of Tiles in a Tessellation
Remove Marks
Separate Multiple Columns of Marks
Name for Unit of Length
Calculate Variance-Covariance Matrix for Fitted Multiple Point
Process Model
update.detpointprocfamily
Set Parameter Values in a Determinantal Point Process Model
Fit the Thomas Point Process by Minimum Contrast
Label Vertices of a Tree by Branch Membership
Fit the Thomas Point Process by Minimum Contrast
Variance-Covariance Matrix for a Fitted Cluster Point Process Model
Evaluate an Expression in Each Row of a Hyperframe
Simulate a Fitted Gibbs Point Process Model
Spatial Cumulative Distribution Function
Sufficient Statistic of Point Process Model
Update a Graphics Symbol Map.
Summarizing a Fitted Cox or Cluster Point Process Model
Update a Fitted Cluster Point Process Model
Internal Options in Spatstat Package
Subset of Hyperframe Satisfying A Condition
Subset of Point Pattern Satisfying A Condition
Cluster Point Process Model
Separate a Vector Measure into its Scalar Components
Extract the Total Computation Time
Weighted Median, Quantiles or Variance
Prune Tree to Given Level
Find Location of Maximum in a Pixel Image
Plot Image or Tessellation Using Texture Fill
Summary of a List of Things
Names of Tiles in a Tessellation
Check Whether Point Process Model is Valid
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
Summarizing a Quadrature Scheme
Superimpose Several Geometric Patterns
Cut margins from rectangle
Determine Which Tile Contains Each Given Point
Estimate Variance of Summary Statistic by Subdivision
Decompose Window into Triangles
Triplet Interaction Family
Change Colour Values in a Colour Map
Convert Pixel Array Between Different Conventions
Update an Interpoint Interaction
Fit the Neyman-Scott Cluster Point Process with Variance Gamma kernel
Evaluate an Expression in a Function Table
Test Expansion Rule
Weighted kernel smoother
Variance-Covariance Matrix for a Fitted Spatial Logistic Regression
Variance-Covariance Matrix for a Fitted Point Process Model
Evaluate Expression in a Spatially Sampled Function
Predicted Variance of the Number of Points
Test Which Side of Infinite Line a Point Falls On
Weighted Histogram
Text, Arrow or Scale Bar in a Diagram